It is known that the number of sick people increases when sudden temperature changes occur at the turning of the seasons. Noise factors such as daily changes in environment, body, and behavior can be considered a necessary part of the data used for evaluating health, and for health tuning, it is also necessary to recognize the factorial effects of control factors which are prescribed for each person. In this study, tuning to a healthy condition was attempted by taking signals from living environment data, body data, and behavior data, which can be easily collected by untrained people, and by creating an MT system unit space scaled according to subjective feeling of health as the true value. This report is based on data collected in winter. Data collection and research will continue for the coming three years.